Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
With an entire season’s worth of data available, let’s look back and see how each part of Oregon’s offense performed.
Use these structured prompting techniques to improve the quality and usefulness of AI output in testing workflows ...
Objectives Cardiovascular diseases (CVDs) are a leading cause of mortality in Nepal. Risk perception is crucial for the prevention of CVD-related behaviours. This study assessed CVD risk perceptions ...
Background Although 90% of youth live in low- and middle-income countries, only 10% of child mental health research is ...
Objectives The TREAT EARLIER trial showed in clinically suspect arthralgia (CSA) that methotrexate induced reductions in ...
Objective To assess prevalence and associated factors of adverse childhood experiences (ACEs) among patients with severe mood disorders (SMDs). Design An institution-based cross-sectional study.
Background Cardiogenic shock (CS) complicating acute myocardial infarction (AMI) carries high mortality. Early ...
Recent advances in diabetes detection may help to identify risk earlier. In this article, MNT discusses recent studies that ...
Learn how hedonic regression helps estimate factors affecting prices in real estate and consumer goods, aiding in precise ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
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